Automatica (Journal of IFAC)
Ten lectures on wavelets
Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
Issues of Fault Diagnosis for Dynamic Systems
Issues of Fault Diagnosis for Dynamic Systems
Modular system for process control testing
WSEAS Transactions on Systems and Control
Study upon a wood processing automatic machine
ICAI'10 Proceedings of the 11th WSEAS international conference on Automation & information
An analyze on a wood processing automatic machine
WSEAS Transactions on Circuits and Systems
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Components of industrial processes are often affected by un-permitted or un-expected deviations from normal operation behaviour. The fault detection task consists of determination of the fault present in a system and the time of detection. In addition to fault detection follows the fault identification by determination of kind, location and time of detection of a fault. These procedures are based on the observed analytical and the heuristic knowledge of the process. In this paper a comparison between different methods of fault detection and some examples of the fault detection and identification procedure for industrial processes is provided. For some classes of processes the structure and some parameters are well known but for others only rough models are available. Therefore the methods for fault detection and diagnosis are mainly different.